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    762: Gemini 1.5 Pro, the Million-Token-Context LLM

    762: Gemini 1.5 Pro, the Million-Token-Context LLM

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

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    762: Gemini 1.5 Pro, the Million-Token-Context LLM

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

    ratings:
    Length:
    17 minutes
    Released:
    Mar 1, 2024
    Format:
    Podcast episode

    Description

    Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.

    Additional materials: www.superdatascience.com/762

    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
    Released:
    Mar 1, 2024
    Format:
    Podcast episode

    Titles in the series (63)

    The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.